Short Answer 
Negative correlation signifies an inverse relationship where an increase in one variable leads to a decrease in another. Examples include the relationship between temperature and snow, where rising temperatures reduce snow levels, and the correlation between the number of digital photos uploaded and available storage space, where more uploads lead to less storage.
Step 1: Understanding Negative Correlation
A negative correlation indicates an inverse relationship between two variables, meaning as one variable increases, the other decreases. This concept is crucial for recognizing patterns in data. In practical terms, it helps us understand how different factors influence each other in various scenarios.
Step 2: Example 1 – Temperature and Snow
One common example of a negative correlation is between temperature and the amount of snow on the ground. As the temperature rises, the snow tends to melt, leading to a decrease in the amount of snow present. This relationship showcases how seasonal changes affect snow levels.
Step 3: Example 2 – Digital Photos and Storage Space
Another relevant instance is observed in the relationship between the number of digital photos uploaded to a website and the amount of storage space remaining. As more photos are uploaded, the available storage space decreases. This example illustrates common everyday challenges related to digital storage and the capacity limitations of devices or services.